AI-Driven Silicon Test Analytics Intern

Cadence Design Systems; Valbonne; Presencial; EUR 10 000 - 13 000; Tempo parcial

Resumo da oferta

Cadence Design Systems, Sophia Antipolis, France, offers a 6-month internship for final-year engineering students. You will work with the ATE Test team to apply Python, data analytics, and AI techniques to semiconductor test results and patterns.

You will learn by solving real engineering problems alongside experienced test engineers. The internship emphasizes transforming large test datasets into actionable insights, with emphasis on data-driven decisions, visualisation, and collaboration to

Qualificações

• Engineering or science background relevant to electronics, microelectronics, computer science or data science.
• Basic Python programming skills expected.
• Interest in AI, ML and data analytics.
• Comfortable working with numerical data and datasets.
• Analytical mindset with problem-solving skills.
• Curiosity and willingness to learn about semiconductor testing.

Responsabilidades

• Analyse semiconductor test results and engineering datasets during the internship.
• Explore AI/ML techniques to identify patterns and correlations in test data.
• Develop Python tools to automate data processing and analysis.
• Create visualisations and summaries to communicate findings to the team.

Conhecimentos

Python basics

Data analytics

Numerical data handling

Analytical thinking

Curiosity & learning

Formação académica

Engineering or science background

Ferramentas

Python data-analysis libraries

ML basics

Data visualization

Semiconductor knowledge

Descrição da oferta de emprego

Cadence Design Systems, Sophia Antipolis, France, offers a 6-month internship for final-year engineering students. You will work with the ATE Test team to apply Python, data analytics, and AI techniques to semiconductor test results and patterns.

You will learn by solving real engineering problems alongside experienced test engineers. The internship emphasizes transforming large test datasets into actionable insights, with emphasis on data-driven decisions, visualisation, and collaboration to